Yubraj Gupta

According to our database, Yubraj Gupta authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Multimodal Image Registration System for Histology Images.

Rodrigo Escobar Díaz Guerrero, Yubraj Gupta, Thomas Bocklitz, José Luís Oliveira

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

DICOMization of Proprietary Files Obtained from Confocal, Whole-Slide, and FIB-SEM Microscope Scanners.

Yubraj Gupta, Carlos Costa, Eduardo Pinho, Luís A. Bastião Silva

Sensors, 2022

Interactive Web-based 3D Viewer for Multidimensional Microscope Imaging Modalities.

Yubraj Gupta, Rodrigo Escobar Díaz Guerrero, Carlos Costa, Rui Jesus, Eduardo Pinho, Luís A. Bastião Silva

Proceedings of the 26th International Conference Information Visualisation, 2022

Vendor Neutral Cloud Platform for 4D Digital Pathology.

Rui Jesus, Yubraj Gupta, Luís Bastião Silva, Carlos Costa

Proceedings of the IEEE Symposium on Computers and Communications, 2022

2021

A DICOM Standard Pipeline for Microscope Imaging Modalities.

Yubraj Gupta, Carlos Costa, Eduardo Pinho, Luís A. Bastião Silva

Proceedings of the IEEE Symposium on Computers and Communications, 2021

Dicomization of LSM fluorescence composite microscopic image with its bioimaging information.

Yubraj Gupta, Carlos Costa, Eduardo Pinho, Luís A. Bastião Silva, Shibarjun Mandal, Ute Neugebauer

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Improving the Visualization and Dicomization process for the Stacked Whole Slide Imaging.

Yubraj Gupta, Carlos Costa, Eduardo Pinho, Luís A. Bastião Silva

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

An MRI brain disease classification system using PDFB-CT and GLCM with kernel-SVM for medical decision support.

Yubraj Gupta, Ramesh Kumar Lama, Sang-Woong Lee, Goo-Rak Kwon

Multim. Tools Appl., 2020

2019

Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers.

Yubraj Gupta, Ramesh Kumar Lama, Goo-Rak Kwon, Alzheimer's Disease Neuroimaging Initiative

Frontiers Comput. Neurosci., 2019